Machine learning models called convolutional neural networks (CNNs) power technologies like image recognition and language ...

Photons are fast, stable, and easy to manipulate on chips, making photonic systems a promising platform for QCNNs. However, ...

Biological neural networks are immensely complex systems underlying all aspects of cognition and behavior. Despite significant advances in neuroscience, a ...

This valuable study uses mathematical modeling and analysis to address the question of how neural circuits generate distinct low-dimensional, sequential neural dynamics that can change on fast, ...

By implementing an automated 3D cell segmentation process, researchers mapped neurons and muscle fibers at the single-cell ...

A deep learning framework enhances medical image recognition by optimizing RNN architectures with LSTM, GRU, multimodal fusion, and CNN ...

Using an AI-supported model developed in-house, an interdisciplinary team at TU Graz has sought new methods to enhance the ...

The authors don't ascribe any of that specifically to the term hallucination, but hallucination is one of those misapplied terms that imply agency and consciousness on the part of what is simply a ...

“The KL1140 is our response to the challenges of scaling LLMs in the cloud alone,” said founder and Chief Executice Albert ...

PageRank interpreted hyperlinks as endorsements, prioritizing pages linked by many others and weighting endorsements from ...